The Biomedical Engineering Group, within the Department of Cardiology at Erasmus MC, is looking for a passionate PhD candidate to join our team and drive innovation in high frame rate ultrasound blood-flow imaging, to enhance our understanding of heart failure/disease.
We are developing new techniques for imaging blood flow in the heart at 1000s of frames per second, allowing us to see how the heart works in slow-motion. Integrating deep learning (AI) into these new techniques is critical so that they can be used in daily clinical practice, to process and analyze the large amount of acquired data.
In this role, you will develop AI models for automated image segmentation and analysis of high frame rate ultrasound images. Your key responsibilities are:
- Develop cutting-edge machine learning models for automated segmentation, classification and analysis of high frame rate contrast enhanced echocardiography.
- Design and execute experiments to obtain/curate suitable training data for developing machine learning models.
- Assess and validate developed models/algorithms.
- Integrate models into existing ultrasound flow imaging frameworks.
- Analyze and interpret experimental data, driving meaningful insights.
- Contribute to scientific reports and publications that shape the future of medical imaging.
- Collaborate closely with clinicians, engineers, and fellow researchers to bring the technique to clinical use.